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Paper Citation Record · LEDGER

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval

As of 11 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2505.20764.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.20764 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:53:19.895071Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

  • verified exact0
  • verified fuzzy61
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e16bcf2-47c4-415f-a55a-450b1059486d · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:38.625286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.124342Z digest=sha256:c502e37895cbd0512c5f72b2a5baededc2c353a7cc58a137c26868328ca15238

Observation 667c98f4-0393-4f4c-8814-e10c0df1159a · outbound

This paper cites Effective conditioned and composed image retrieval combining clip-based features.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Effective conditioned and composed image retrieval combining clip-based features

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:38.338521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.197032Z digest=sha256:880628680d6528858d6ddd794b27045bd3d252821cfc5f12fee7ad4203eacf10

Observation cf345bce-49a1-49a5-8afb-e7530f98b9eb · outbound

This paper cites Zero-shot composed image retrieval with textual inversion.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Zero-shot composed image retrieval with textual inversion

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:38.042754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.305277Z digest=sha256:36dfeea03138feeb6fb52b79922e88535c9606428f307b60f5d64d5d566fd0e9

Observation d27dd8a0-7e04-484b-b27b-c37ba42586b2 · outbound

This paper cites an unresolved cited work.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:53:37.770141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.364365Z digest=sha256:4c7431e80eca76f74cdc8b07c4f97cc0f4a047591d6c1df6287c772f3709a873

Observation 3bee0394-b482-426b-abc3-b620aa31cd07 · outbound

This paper cites InstructPix2Pix: Learning to Follow Image Editing Instructions.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval InstructPix2Pix: Learning to Follow Image Editing Instructions

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:13.438855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:13.438855Z digest=sha256:afbea772c70b27295d679efaf4535bb88fdd67917f3ac06d93495017fe92ab03

Observation 86093759-a6c7-4633-980b-0d98204f749b · outbound

This paper cites Emerging prop- erties in self-supervised vision transformers.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Emerging prop- erties in self-supervised vision transformers

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:37.482535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.523889Z digest=sha256:f0bcbb3bee97e381027331b9a4b5269ed93226e4b60f38401e796f263bb14929

Observation ce7a19ea-59b2-4921-a5c3-5c87af67dcc8 · outbound

This paper cites Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Bakker, Theodoros Georgiou, Paul Fieguth, Li Liu, and Michael S

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:37.216807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.604925Z digest=sha256:79816e9cef0bfcb63ca673fe4558847d492480e33c48e1768118921a6e362d8a

Observation a015c7e0-ef56-4cd7-ab0a-7787d5c5dfd0 · outbound

This paper cites Image search with text feedback by visiolinguistic attention learning.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Image search with text feedback by visiolinguistic attention learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:36.955768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.683266Z digest=sha256:cf013207eb28cbfd8c030d8127bb1ed878e3c9636c9736cafcb6e70c4c5c7471

Observation 8ca25717-e3cd-49b7-bbf3-9b5563b0b93e · outbound

This paper cites Metaxas, and Hongxia Y ang.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Metaxas, and Hongxia Y ang

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:36.585814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.767747Z digest=sha256:66e90dccf311279390ddeec80e4ed7fb4065ef6177de43f10f5421924d835a5c

Observation 94480b25-89d3-4497-ba7a-00a8fd51302e · outbound

This paper cites Instructblip: towards general-purpose vision- language models with instruction tuning.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Instructblip: towards general-purpose vision- language models with instruction tuning

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:36.335618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.848278Z digest=sha256:23fa7210056773f2a6a5c209bfcbefdd5ac6924c843e7b346ee835cb996c98f3

Observation 4cbe4594-2d16-4e2f-b819-0d1c28826c5e · outbound

This paper cites Artemis: Attention-based retrieval with text-explicit matching and implicit similarity.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Artemis: Attention-based retrieval with text-explicit matching and implicit similarity

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:36.135283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:13.933244Z digest=sha256:6b18f54776cece5aec9abbd2227b4eeebfd9897073195fb6517f5a4f752b73ee

Observation 14000f4b-78bf-4f11-8d98-9cb72596877c · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Imagenet: A large-scale hierarchical image database

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:35.911527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.014178Z digest=sha256:7100e74ce84c538d413b52f5236faddce37dead6e882f34c17959c1fdde7520b

Observation 50c8937a-f4e8-4d1b-b8c2-a24d17c00b12 · outbound

This paper cites Characterizing context influence and hallucination in summarization, 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Characterizing context influence and hallucination in summarization, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:35.736915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.087643Z digest=sha256:9110a1ce2e484569c2dfe5549b23bb3b60073aa5d0473403ee5ea9a48936f45d

Observation 34efb20b-61dc-42c5-8c67-ecf090b1c580 · outbound

This paper cites Neural Naturalist: Generating Fine-Grained Image Comparisons.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Neural Naturalist: Generating Fine-Grained Image Comparisons

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:14.156914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:14.156914Z digest=sha256:cfc1ab1b121a264a5f4dd8f3cf9bd6dbc7cd448626c688cd447d88b55ae7f80e

Observation b99788ce-a506-446b-ad5c-47b9363e8673 · outbound

This paper cites Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Making the V in VQA matter: Elevating the role of image understanding in Visual Question Answering

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:35.339953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.239266Z digest=sha256:9adc8f1db1ef01210c5005bb58665b74a1cb56198422a6b0816eab1e356e3b1d

Observation 14de4d38-995a-4644-a4d3-03762f826796 · outbound

This paper cites Language-only training of zero-shot composed image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Language-only training of zero-shot composed image retrieval

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:34.877612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.325582Z digest=sha256:cfa0344d326ae6bc01fe0aa08888ecc4b88ef127dd2810cb0ceb9d225a3d438e

Observation 13c54050-6741-483a-b5f3-6eeb70d6b074 · outbound

This paper cites Compodiff: V ersatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research, 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Compodiff: V ersatile composed image retrieval with latent diffusion.Transactions on Machine Learning Research, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:34.566641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.430586Z digest=sha256:08efa52df129e6287487e14184278628c292ce9510d98430a4e18a5c6b1c3ba1

Observation c390f1f1-9b59-405c-84b1-3045bd99c03b · outbound

This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.ICCV, 2021.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval The many faces of robustness: A critical analysis of out-of-distribution generalization.ICCV, 2021

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:34.356744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.514498Z digest=sha256:a182f4454b7552e32e332858f01a689d3829f2da969df1a24417689280980ca3

Observation ad5ad618-b0c1-408f-a8bb-d139a11f2c80 · outbound

This paper cites Prompt-to-prompt image editing with cross attention control.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Prompt-to-prompt image editing with cross attention control

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:34.125049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.607782Z digest=sha256:42c5db4c4135bd216018da5bb4c1374258552f5e8b84e4ab1f8bb6c697eef102

Observation 9d7ad53c-725b-42f7-b687-d77195f50cab · outbound

This paper cites Referring image segmentation via cross-modal progressive comprehension.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Referring image segmentation via cross-modal progressive comprehension

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:33.849238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.720384Z digest=sha256:c2721e8f3426c1ad6f514c5e3f5e63ee6cc15e91dbf75ae4372ab9a11ad1e8c7

Observation 3b589a80-ec07-4acb-ac5a-8705aff68b05 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question an- swering.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Gqa: A new dataset for real-world visual reasoning and compositional question an- swering

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:33.666063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.788468Z digest=sha256:ecc2c75b1e501d09ce8e44940f363ca2e05d9d9826f263726ffd54d3f2a0eb0d

Observation 18c53142-8e92-4dc7-bf01-2587911baee2 · outbound

This paper cites Openclip, 2021.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Openclip, 2021

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:33.486972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:14.854301Z digest=sha256:d601bb751e1d6635cb30d6d49c32217c4610bbfc344f734cbabfa00d811b8ae9

Observation 801e9490-c023-4dec-9ba6-c6a56967a9e9 · outbound

This paper cites Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:15.042076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:15.042076Z digest=sha256:fad291a3cfec8fa7e365d6f8f380b6bca0ed8e564ce13d6b3e084bbc3c2b1f11

Observation 41583a15-7754-4104-a2e6-91177d45ac3e · outbound

This paper cites Dual relation alignment for composed image retrieval, 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Dual relation alignment for composed image retrieval, 2024

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:33.262667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.178063Z digest=sha256:cf696fc4fe85523f81816824543eac40f6dfa511dd0d4c244c52d2ae3d741c68

Observation 598d8020-d927-4caa-b978-23f2cbfc846d · outbound

This paper cites Clevr: A diagnostic dataset for compositional language and elementary visual reasoning.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Clevr: A diagnostic dataset for compositional language and elementary visual reasoning

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:32.967836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.251348Z digest=sha256:2dae9905f4269be2511781f41fdade9fa03c8a48602c76829f34eaeb5f0a7711

Observation d4f6fc72-2db4-4e6e-a7f1-5fed4d5dbd9a · outbound

This paper cites Vision-by-language for training-free compositional image retrieval.International Conference on Learning Representations (ICLR), 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Vision-by-language for training-free compositional image retrieval.International Conference on Learning Representations (ICLR), 2024

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:32.714545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.394856Z digest=sha256:ec86f4514a0f64ae8f942db03ce7d5102b20483a64d3cc9a0996d9f5bb901f18

Observation 756ce0bd-bcf5-472e-918f-b14508a60a55 · outbound

This paper cites Segment Anything.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Segment Anything

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:15.534016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:15.534016Z digest=sha256:90173d3a609f3e90c8df4b09bb87a93edb55a5f4f3b3421b2cbfe8f653a8adf7

Observation 5cbcdecb-0289-4851-a1f2-c27ba783af70 · outbound

This paper cites good4cir: Generating detailed synthetic captions for composed image retrieval, 2025.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval good4cir: Generating detailed synthetic captions for composed image retrieval, 2025

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:32.463828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.627355Z digest=sha256:4178b1cd1f35f366a1b4eeebcf90b0ea093dca285b96d185fee3115b5b27f3b9

Observation 6588d827-524b-42f3-a5d9-cad0809061b2 · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Set transformer: A framework for attention-based permutation-invariant neural networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:32.217250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.707751Z digest=sha256:f056121ee49eb6a6bfe796b4cc3a08e71e6ce5d74f58567f53cd70463b491bf5

Observation 8f3ca08b-349e-4188-8e91-f3ace5477ec0 · outbound

This paper cites an unresolved cited work.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:53:31.986218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.767582Z digest=sha256:2f0a6b5ec33a0967dbc4cef042facd352f997fb19d977eccbd9b16f19835345e

Observation 0a89f735-1b20-4135-b7b3-1e280971ec19 · outbound

This paper cites Language-driven semantic segmentation.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Language-driven semantic segmentation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:29.090917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.841439Z digest=sha256:1c9f3a6c4dd6f885b05e59902ee5b9cbaddb7973e3a6acce1a88df9069db9384

Observation 9b4b330b-b6f4-439a-b233-c13ba9881626 · outbound

This paper cites Visual-linguistic alignment and composition for image retrieval with text feedback.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Visual-linguistic alignment and composition for image retrieval with text feedback

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:28.801344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:15.930023Z digest=sha256:45b598b7df0d7bb271c41e146cf8e32da424844c93ce60657615f862000153a9

Observation 681ecd32-8f77-4405-badf-3deebd23f8d2 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:28.437227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.027913Z digest=sha256:102012f0648c4dfa8683ca3157d64acfb4590e6e78e3b20a2c59a65a80b5ff2d

Observation 6b34bb79-07ea-40ed-901b-2f9fc9a8beab · outbound

This paper cites Grounded language-image pre-training.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounded language-image pre-training

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:28.020897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.130248Z digest=sha256:59799a6d96d36d29e855da14dff5fc677cf66b7a5c915c828d08c5d563ac9fe3

Observation 2d405a9c-1a89-4252-8dfc-2f1cb19bdfbb · outbound

This paper cites Lawrence Zitnick.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Lawrence Zitnick

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:27.675395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.185567Z digest=sha256:e2fe95093476124c385bf989d6934a49878771682036550e3b084f78c1db0615

Observation 22033fd0-0fa2-49d6-8f93-a4a9cdbc8706 · outbound

This paper cites Visual instruction tuning.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Visual instruction tuning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:27.299036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.268170Z digest=sha256:865c695e441a3ca3244389b034e6f23f2be33e0a603b278e98ececa7c971265b

Observation 4d8630f8-b367-4e87-b3e0-7b93a9d4a8ff · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:16.358127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:16.358127Z digest=sha256:a36ac4836366a7e7986bdee03f0e85c790b1c6bcadd58aa57e460244a01201cd

Observation f050aa26-1349-4da4-8452-a8fd3622d3c9 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Image retrieval on real-life images with pre-trained vision-and-language models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:26.965663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.425960Z digest=sha256:0255f6367f84fd9cca381001cc10c3bc4297ca18cc9818028d6bcc03b3eca0a9

Observation 151029ad-8440-4250-a669-36bd70e1ad9a · outbound

This paper cites Cfir: Fast and effective long-text to image retrieval for large corpora,.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Cfir: Fast and effective long-text to image retrieval for large corpora,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:26.722582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.488377Z digest=sha256:95973179f557b56dd7e87c069ce258a73b9b5baad902623732dcc7d6e886358a

Observation 16da114a-0493-4ff6-83fe-ab7efd8391d4 · outbound

This paper cites Decoupled weight decay regularization.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Decoupled weight decay regularization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:16.571774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:16.571774Z digest=sha256:53b0652b693e05f1b9a20027baf82e12ea07543cdbbba59444719ba05425dada

Observation 1dc25055-a045-4b8b-8484-286661570d8b · outbound

This paper cites an unresolved cited work.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:53:26.449126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.643036Z digest=sha256:051b085abb73f4ed1899a5d73a616798120da6255ca851d5794efd507c8f8e74

Observation 3f7aa597-b34e-428e-aaca-51ba06c4bcaf · outbound

This paper cites Psomas, I.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Psomas, I

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:26.137636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.716507Z digest=sha256:4230a447eb216069e03784b989b706470c2d8d033ab420a86866ad4de27f70f5

Observation 24e3afd7-7e4c-4fde-bf8c-58cb8792f21b · outbound

This paper cites an unresolved cited work.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:53:25.908521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.779158Z digest=sha256:b2bb3be87dee1c54e1ba7f384cf69384f03c5fd01f60e6ec94a82ac3071a30df

Observation f866e023-011f-409c-a8fb-349d33ddd9a2 · outbound

This paper cites Learning transferable visual models from natural language supervision.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Learning transferable visual models from natural language supervision

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:25.620101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:16.908593Z digest=sha256:a612aee7744cc2fb574d4076c266f3726eb6c8fce89e4fb91d8ce1e4233837a4

Observation 253076f7-02be-4dd2-babd-9b82be663122 · outbound

This paper cites Learning transferable visual models from natural language supervision.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Learning transferable visual models from natural language supervision

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:25.476334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.072122Z digest=sha256:8075b3d6845100710af5fc8bc06dfea154361158256eb8633c5ed6df1ab34f30

Observation d0f0a0cf-b19e-4c80-97be-fed33448eb41 · outbound

This paper cites Grounded sam: Assembling open-world models for diverse visual tasks, 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Grounded sam: Assembling open-world models for diverse visual tasks, 2024

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:25.230668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.164897Z digest=sha256:dcee5354b5d898a75af37dc51f2304594443ec54d428bfdc68a4b32dbb35ce19

Observation 4a667b63-3bc9-496a-a373-713ef595ccad · outbound

This paper cites Pic2word: Mapping pictures to words for zero-shot composed image retrieval.CVPR, 2023.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Pic2word: Mapping pictures to words for zero-shot composed image retrieval.CVPR, 2023

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:25.027558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.235481Z digest=sha256:de0dfa58bc834a250ee5c90687f4e05854bc76b96ff41c30d806b4b3f6fb9241

Observation d4bdc26f-1fd7-458b-826d-93d8afdf0257 · outbound

This paper cites Deep learning based large scale visual recommendation and search for e-commerce, 2017.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Deep learning based large scale visual recommendation and search for e-commerce, 2017

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:24.880532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.374387Z digest=sha256:cb10856142f602628a4b697ca617db9ff4e6bc113fdb161635537995d4d55b0a

Observation 7b1c9a3f-1111-4d75-9f48-283f93235647 · outbound

This paper cites Lime: Localized image editing via attention regularization in diffusion models, 2023.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Lime: Localized image editing via attention regularization in diffusion models, 2023

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:24.629061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.471222Z digest=sha256:ca5a63aaa161e5c88c97828b1bc2409656d776617e5ce43da478b87394d51dae

Observation d8274385-b0b4-440e-aaa7-ff631afc1145 · outbound

This paper cites Syncmask: Synchronized atten- tional masking for fashion-centric vision-language pretraining.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Syncmask: Synchronized atten- tional masking for fashion-centric vision-language pretraining

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:24.297438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.541139Z digest=sha256:f738ed772e9dd566cdaa62bf9af88b952d230feddd12cc00fe2ef8afb212b46c

Observation 89191c24-4c69-4ece-92f4-f622f93684fb · outbound

This paper cites Fd-align: Feature discrimination alignment for fine-tuning pre-trained models in few-shot learning.NeurIPS,.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Fd-align: Feature discrimination alignment for fine-tuning pre-trained models in few-shot learning.NeurIPS,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:23.996150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.591837Z digest=sha256:85c59515bb3b074c07bedf3b5e3d0967239e6a57dd6a3753dda3674fd765c861

Observation d7c8675c-94a0-42f6-9d2e-cf0b92ebb1ba · outbound

This paper cites Hotels-50k: A global hotel recognition dataset.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Hotels-50k: A global hotel recognition dataset

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:23.782219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.756046Z digest=sha256:30bd9807e0d42226f448e26781b01f2161863fbce0aab6dd783e2c41f0c5e7f7

Observation ac81a119-f6d7-4bc9-923b-f9c05486950d · outbound

This paper cites Sudhish, Latha R.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Sudhish, Latha R

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:23.609485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:17.888684Z digest=sha256:6ef4c7863d8e20b9180e15529d9a3849a0b86275214bac7b9cd1cee44457145b

Observation eccdea3d-ed82-49a1-b789-a27536121295 · outbound

This paper cites A corpus of natural language for visual reasoning.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval A corpus of natural language for visual reasoning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:23.373719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.003789Z digest=sha256:d5d58c22ec181a9b24e97a3508b63044157daa22c674a2e6580829c7ad6f8255

Observation ac7fe180-e6dd-4ac2-b987-cec711878427 · outbound

This paper cites A corpus for reasoning about natural language grounded in photographs.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval A corpus for reasoning about natural language grounded in photographs

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:22.969195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.107847Z digest=sha256:b507bb14d13c768d4a59a1a1d05f7d9c84ec83847ab31eb181440db76dbae860

Observation de0be5c8-e40d-42ff-8259-a95d2d9b9a82 · outbound

This paper cites Exploring clip for real world, text-based image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Exploring clip for real world, text-based image retrieval

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:22.676266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.181206Z digest=sha256:c0b43646f5772939942ad2fbcb81640400037cac23baa852b3ab2c67bf04441d

Observation 3a28f359-cd90-4571-85c5-c83b505a390c · outbound

This paper cites Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:18.246700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:18.246700Z digest=sha256:747661a5dd07aef08bc2f902194a076b3baa86390bdf3344d6076b530b6e9a2a

Observation 3fd0e105-c94e-4c07-9696-723af3ff9aad · outbound

This paper cites V entura, A.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:22.425049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.332719Z digest=sha256:d4350f3a84aa5e44ed6f4981583c1f3d98a7fd976e41b8600d214cd5e52bce7a

Observation 0a4996b6-d046-4046-8550-4d0996115a08 · outbound

This paper cites V entura, A.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:22.205913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.441154Z digest=sha256:8af35d9321f0a1b2dd5ba0edb64a522e0ff9b5ef1abe5d7ca5cefeb82741174a

Observation c9ed4e7d-44af-402b-88e0-db1409bc26ea · outbound

This paper cites V entura, A.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval V entura, A

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.998457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.552193Z digest=sha256:598019e599011cdff6f4bc2e7959c151fbda3769d918e870f1cf5de9b08e57e8

Observation 09f29962-04cf-4ac5-a6ad-3f8020165b14 · outbound

This paper cites Composing text and image for image retrieval-an empirical odyssey.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Composing text and image for image retrieval-an empirical odyssey

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.781822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.610827Z digest=sha256:5884b8a94f2a68d9cebcba86f82e0dfd1159f90e16697290806a8f0f13ec3608

Observation eac0e310-5951-482e-8f90-ae29091a6998 · outbound

This paper cites Contrastive region guidance: Improving grounding in vision-language models without training.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Contrastive region guidance: Improving grounding in vision-language models without training

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.575823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.721468Z digest=sha256:c52340a07c72ff45afabb9412b299c0eb6f55f7cb474a5a7b84302aff7952e7d

Observation 182e85c0-1bb8-4ac9-9d7d-a57c05a0c883 · outbound

This paper cites Cross-modal feature alignment and fusion for composed image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Cross-modal feature alignment and fusion for composed image retrieval

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.376439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.788882Z digest=sha256:dd5344eb85c6bfa122ec1cdb5c13c29660213bbe1b060a3de15a70e5a4235ca8

Observation 72bd1285-831b-4732-8082-1736ae7a6165 · outbound

This paper cites Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Dynamic prompt learning: Addressing cross-attention leakage for text-based image editing

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.233462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:18.887974Z digest=sha256:40ba5d5d936073176ff0adb3995e8c144798ee6dfeb4763ca23387091b54787f

Observation 56ea9133-6960-4cd4-a7e8-975aa0f8f92c · outbound

This paper cites T arget-guided composed image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval T arget-guided composed image retrieval

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:21.113605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.068373Z digest=sha256:621c656ab8415acdaece1d6799ec489d6cb47c4cf3a6e4f3f1f1d747e2b8a99e

Observation e0733654-2d8c-4067-85af-edd6a7518b65 · outbound

This paper cites The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback.CVPR, 2021.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval The fashion iq dataset: Retrieving images by combining side information and relative natural language feedback.CVPR, 2021

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.894439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.202224Z digest=sha256:c5dd47633e359b502831f54a2fe314e98b4cdfbef256c0aee9df157740ec7b36

Observation ab1e5f64-bc47-4674-9d49-71804d0ab630 · outbound

This paper cites Asymmetric Feature Fusion for Image Retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Asymmetric Feature Fusion for Image Retrieval

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.755138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.364477Z digest=sha256:e86f590b5e117d8314f8c60c0a256a5c1eac4b7ecffa77a818c7f1f4382f6ce9

Observation e339a626-b098-459d-83e4-fa1565c36fad · outbound

This paper cites Align and retrieve: Composition and decomposition learning in image retrieval with text feedback.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Align and retrieve: Composition and decomposition learning in image retrieval with text feedback

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.637482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.458362Z digest=sha256:6d0d0aa99f10f6136aec1aaf9673e2699f070e8f17bb2bc9cdee54bdc5db261d

Observation c0b607a7-5d25-4ebd-866d-c3e60425332b · outbound

This paper cites Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Ldre: Llm-based divergent reasoning and ensemble for zero-shot composed image retrieval

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.530297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.549274Z digest=sha256:477bf374b66afbbcb71b448c029ed2c729d46611665e49c9799c0f0f094f1513

Observation 2c35fb94-e3e6-4786-b4bf-a649b9ea3e60 · outbound

This paper cites FILIP: Fine-grained Interactive Language-Image Pre-Training.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:19.694499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:19.694499Z digest=sha256:1c7159c0277d8661d3de4d3ab1ad9c3bd0ba2439b43b7851489f42af05dfbf0a

Observation 5a853ded-7111-4fdf-b1ed-90146dfa2d63 · outbound

This paper cites Geo- localization via ground-to-satellite cross-view image retrieval.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Geo- localization via ground-to-satellite cross-view image retrieval

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.400919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.759320Z digest=sha256:f7af17e491198731230720472646feb9ed9fef65a0d7b609f279f5a3ada94657

Observation 5ae3a642-a2c6-471f-97ab-a8961500c948 · outbound

This paper cites Zhang, Y.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Zhang, Y

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.256362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.845608Z digest=sha256:0b195f1566b84d3207d7b4bdae4ea93a3707bb4ab8de09cbefc9ac02c9a9ae16

Observation 53454af1-95de-415c-9a12-738bf735cf95 · outbound

This paper cites Irgen: Generative modeling for image retrieval, 2024.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval Irgen: Generative modeling for image retrieval, 2024

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:53:20.115089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T13:53:19.895071Z digest=sha256:23f04d2b62988d536110b0ed5475c0508b99022d4eafdc06e5ec23892c04b657

Pith citing papers

No inbound Pith citation observations are available.